Evidence map›Paper›PMID 42297813›Full record

ArticleNature communications2026

Constraining near-term projections of the South Asian high and Afro-Asian summer monsoon rainfall.

Dapeng Zhang, Yanyan Huang, Botao Zhou, Qiaohong Sun, Huijun Wang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dapeng ZhangState Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China.ORCID http://orcid.org/0000-0003-0928-5527
Yanyan HuangState Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China. huangyy@nuist.edu.cn.ORCID http://orcid.org/0000-0003-2621-0826
Botao ZhouState Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China.ORCID http://orcid.org/0000-0002-5995-2378
Qiaohong SunState Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China.ORCID http://orcid.org/0000-0002-6131-8632
Huijun WangState Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42305022
6 · The paper itself

Abstract

Reliable projections of Afro-Asian summer monsoon precipitation (AfroASMP) are critical for sustaining regional development and managing climate risks for billions of people. The complex historical variability of AfroASMP highlights the central role of dynamical circulations, alongside the favorable thermodynamic conditions associated with the centurial global warming. Here, we identify that up to 90% of the variance in AfroASMP over past six decades is dynamically dominated by the South Asian High (SAH), an extensive upper-tropospheric mode spanning West Africa to the western Pacific. Using a multi-model weighting scheme, the constrained near-term SAH projects a larger amplitude than raw simulations across three emission scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5). SAH-based constraints indicate a reduction in AfroASMP of 10-50 mm, with the largest decrease in abnormally wet conditions over Africa (62%) under SSP5-8.5, and increases in dry conditions over Africa and North China (>10%). The framework offers physically grounded evidence for climate adaptation and policy decisions.

Identifiers

PMID42297813
PMCPMC13416034

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.